Abstract
Gait is an emerging biometric. Current systems are either holistic or feature based and have been demonstrated to be able to recognise people by the way they walk. This paper describes a new system that extends the feature based approach to recognise people by the way they walk and run. A bilateral symmetric and coupled oscillator is the key concept that underlies this model, which includes both the upper and the lower leg. The gait signature is created from the phase-weighted magnitude of the lower order Fourier components of both the thigh and knee rotation. This technique has proved to be capable of recognising people when walking or running and future work intends to develop invariance attributes of walking or running for the new description.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
M.P. Murray, A.B. Drought, and R.C. Kory. Walking Pattern of Normal Men. J. Bone and Joint Surgery, 46-A(2), 335–360, 1964.
L. Bianchi, D. Angeloni, and F. Lacquaniti, Individual characteristics of human walking mechanics, Pflügers Arch-Eur J Physiol, 436, 343–356, 1998.
S.A. Niyogi and E.H. Adelson. Analyzing and Recognizing Walking Figures in XYT. Proc. IEEE Comp. Soc. Conf. on Comp. Vision and Patt. Recog., 469–474, 1994.
H. Murase and R. Sakai. Moving Object Recognition in Eigenspace Representation: Gait Analysis and Lip Reading. Patt. Recog. Letters, 17, 156–162, 1996.
J. Little and J. Boyd, Recognizing People by Their Gait: The Shape of Motion. MIT Press Journal-Videre, 1(2), 1–32, 1998.
P.S. Huang, C.J. Harris, and M.S. Nixon. Human gait recognition in canonical space using temporal templates. IEE Proc.: VISP, 146(2), 93–100, 1999.
D. Cunado, M.S. Nixon and J.N. Carter. Automatic Gait Recognition via Model-Based Evidence Gathering. AutoID Proc.: Workshop on Auto. Identification Adv. Tech., 27–30, October 1999.
L. Li, E.C.H. van den Bogert, G.E. Caldwell, R.E.A. van Emmerik, and J. Hamill, Coordination Patterns of Walking and Running at Similar Speed and Stride Frequency, Human Mov. Sc., 18, 67–85, 1999.
I. Stewart. Symmetry-breaking cascades and the dynamics of morphogenesis and behaviour. Sc. Progress, 82(1), 9–48,1999.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yam, CY., Nixon, M.S., Carter, J.N. (2001). Extended Model-Based Automatic Gait Recognition of Walking and Running. In: Bigun, J., Smeraldi, F. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2001. Lecture Notes in Computer Science, vol 2091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45344-X_41
Download citation
DOI: https://doi.org/10.1007/3-540-45344-X_41
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42216-7
Online ISBN: 978-3-540-45344-4
eBook Packages: Springer Book Archive